OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)

Article	Citations
Editorial Message from the New Editor-in-Chief	286
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	169
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	132
Graph Co-Attentive Session-based Recommendation	131
Understanding the “Pathway” Towards a Searcher’s Learning Objective	94
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	92
Theories of Conversation for Conversational IR	85
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	84
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	67
DiffuRec: A Diffusion Model for Sequential Recommendation	63
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	62
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	61
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	58
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	55
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	51
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	50
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	49
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	48
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	45
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	43
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	39
Revisiting Conversation Discourse for Dialogue Disentanglement	39
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	37
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	36
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	36

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	36
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	35
Bias and Debias in Recommender System: A Survey and Future Directions	35
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	35
Toward Best Practices for Training Multilingual Dense Retrieval Models	33
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	33
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	33
Listwise Generative Retrieval Models via a Sequential Learning Process	32
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	31
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	31
Collaborative Sequential Recommendations via Multi-view GNN-transformers	31
On the User Behavior Leakage from Recommender System Exposure	31
A Review Selection Method Based on Consumer Decision Phases in E-commerce	30
Enhancing ID-based Recommendation with Large Language Models	30
User Profiling Based on Nonlinguistic Audio Data	29
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	29
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	29
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	29
Spoken Conversational Context Improves Query Auto-completion in Web Search	29
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2	28
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	28
Multi-interest Diversification for End-to-end Sequential Recommendation	28
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	27
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	27
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	27
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation	26
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	26
Cluster-Based Graph Collaborative Filtering	26
Variational Type Graph Autoencoder for Denoising on Event Recommendation	26
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	25
Learning a Hierarchical Intent Model for Next-Item Recommendation	25
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	25
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	25
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	24
Meta-Learning to Rank for Sparsely Supervised Queries	24
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	24
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	23
User Behavior Simulation for Search Result Re-ranking	23
Conversational Search and Recommendation: Introduction to the Special Issue	23
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	23
Average User-Side Counterfactual Fairness for Collaborative Filtering	22
Causal Inference in Recommender Systems: A Survey and Future Directions	22
Graph Neural Pre-training for Recommendation with Side Information	22
Sequential Recommendation with Multiple Contrast Signals	22
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	21
Contrastive Self-supervised Learning in Recommender Systems: A Survey	21
Explaining Recommendation Fairness from a User/Item Perspective	21
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	21
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification	21
Target-guided Emotion-aware Chat Machine	21

The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	21
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	20
Multi-Agent Attacks for Black-Box Social Recommendations	20
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	20
Social Context-aware Person Search in Videos via Multi-modal Cues	20
On Elastic Language Models	19
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge	19
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	19
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	18
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	18
Triple Sequence Learning for Cross-domain Recommendation	18
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments	18
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	18
Personality dialogue agent based on personality description and conversation history	18
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	17
Ranking Models for the Temporal Dimension of Text	17
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	17
Stopping Methods for Technology-assisted Reviews Based on Point Processes	17
Reinforcement Routing on Proximity Graph for Efficient Recommendation	17
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	17
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	16
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	16
Online and Offline Evaluation in Search Clarification	16
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	16
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval	16
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	16
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems	16
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	15
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	15
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	15
The In-Situ Effect of Offensive Ads on Search Engine Users	15
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	14
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	14
Towards Efficient Coarse-grained Dialogue Response Selection	14
Learning to Learn a Cold-start Sequential Recommender	13
How Can Recommender Systems Benefit from Large Language Models: A Survey	13
Knowledge Base Embedding for Sampling-Based Prediction	13
Inter- and Intra- Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	13
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	13
Inductive Contextual Relation Learning for Personalization	13
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	13
Post-Training Attribute Unlearning in Recommender Systems	13
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank	13
Building a Coding Assistant via the Retrieval-Augmented Language Model	12
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	12
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	12
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	12
Counterfactual Explanation for Fairness in Recommendation	12
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	12
Rebalancing Discriminative Responses for Knowledge Tracing	12
Person-action Instance Search in Story Videos: An Experimental Study	12
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	12
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question Answering System	12
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	11
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	11
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	11
Causal Time-aware News Recommendations with Large Language Models	11
Deep Coupling Network for Multivariate Time Series Forecasting	11
A Variational Neural Architecture for Skill-based Team Formation	11
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	11
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems	11
Distributional Fairness-aware Recommendation	11
Unsupervised Social Bot Detection via Structural Information Theory	11
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	11
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	11
Robust Collaborative Filtering to Popularity Distribution Shift	11
Combining Graph Convolutional Neural Networks and Label Propagation	11